Principal Data Scientist - AI for Data and Assessment
$162k - $185k • McLean, VA • Full-time
Posted 1mo ago
About the job
As a Data Scientist at Capital One, you will be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives. The AI for Data team builds and ships state-of-the-art machine learning solutions to support the data lifecycle within the enterprise, partnering with product, tech, and design teams to deliver personalized experiences. You will be the driving force to experiment, innovate, and create next-generation experiences powered by the latest emerging ML technologies.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
- Leverage a broad stack of technologies including Python, Conda, AWS, H2O, and Spark to reveal insights hidden within large volumes of numeric and textual data.
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
- Translate the complexity of your work into tangible business goals.
Requirements
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics, OR Master's Degree in a quantitative field plus 3 years of experience, OR PhD in a quantitative field.
- Innovative mindset, continually researching and evaluating emerging technologies and staying current on state-of-the-art methods.
- Creative problem-solver comfortable defining big, undefined problems and pushing hard to find answers.
- Comfortable with open-source languages and passionate about developing further, with hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded with experience building, validating, and back-testing models, interpreting metrics like confusion matrices or ROC curves, and experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Skilled in retrieving, combining, and analyzing data from a variety of sources and structures.
- Master’s Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field (preferred).
- At least 1 year of experience working with AWS (preferred).
- At least 3 years’ experience in Python and SQL (preferred).
- At least 3 years’ experience with Deep Learning Frameworks (preferred).
- At least 3 years’ experience with Natural Language Processing (preferred).
Benefits
- Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being.